Compressed Sensing-Based DOA Estimation With Antenna Phase Errors
نویسندگان
چکیده
منابع مشابه
Single-snapshot DOA estimation by using Compressed Sensing
This paper deals with the problem of estimating the directions of arrival (DOA) of multiple source signals from a single observation vector of an array data. In particular, four estimation algorithms based on the theory of compressed sensing (CS), i.e., the classical l1 minimization (or Least Absolute Shrinkage and Selection Operator, LASSO), the fast smooth l0 minimization, and the Sparse Iter...
متن کاملAugmented Lagrange Based on Modified Covariance Matching Criterion Method for DOA Estimation in Compressed Sensing
A novel direction of arrival (DOA) estimation method in compressed sensing (CS) is presented, in which DOA estimation is considered as the joint sparse recovery from multiple measurement vectors (MMV). The proposed method is obtained by minimizing the modified-based covariance matching criterion, which is acquired by adding penalties according to the regularization method. This minimization pro...
متن کاملDOA Estimation for Underwater Wideband Weak Targets Based on Coherent Signal Subspace and Compressed Sensing
Direction of arrival (DOA) estimation is the basis for underwater target localization and tracking using towed line array sonar devices. A method of DOA estimation for underwater wideband weak targets based on coherent signal subspace (CSS) processing and compressed sensing (CS) theory is proposed. Under the CSS processing framework, wideband frequency focusing is accompanied by a two-sided cor...
متن کاملDoA Estimation Performance and Computational Complexity of Subspace- and Compressed Sensing-based Methods
We investigate the Direction of Arrival (DoA) estimation for smalland large-scale antenna arrays with a small and a large number of antenna elements, respectively. Two classes of algorithms are considered, namely subspaceand compressed sensing (CS)-based algorithms. We compare those algorithms in terms of both the DoA estimation performance and the computational complexity based on different pa...
متن کاملDOA Estimation for Multi-Band Signal Sources Using Compressed Sensing Techniques with Khatri-Rao Processing
Much attention has recently been paid to direction of arrival (DOA) estimation using compressed sensing (CS) techniques, which are sparse signal reconstruction methods. In our previous study, we developed a method for estimating the DOAs of multi-band signals that uses CS processing and that is based on the assumption that incident signals have the same complex amplitudes in all the bands. That...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Electronics
سال: 2019
ISSN: 2079-9292
DOI: 10.3390/electronics8030294